Citation Chaining
SkillMonitoring & opsForward and backward citation tracing tactic — expand paper coverage
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Citation Chaining skill
What this skill tells your AI
The instructions your AI receives, as published by yogsoth-ai/de-anthropocentric-research-engine in skills/citation-chaining/SKILL.md and read by ahel’s review.
Expand paper coverage by tracing citation networks in both directions.
Operations
- Backward chaining: ss_references — what does this paper cite?
- Forward chaining: ss_citations — what cites this paper?
Available SOPs
paper-overview(import) — quick scan of discovered paperspaper-search(import) — AI summary of promising paperspaper-research(import) — deep reading of key paperssaturation-detection(subagent) — determine when to stop
Execution Guidance
- Start from seed/key papers
- Alternate forward and backward passes
- After each pass: filter by relevance, add to reading queue
- Use saturation-detection to stop when new papers aren't adding information
- Track the chain: paper A → cites B → cites C (provenance)
- Deduplicate across passes — same paper may appear in multiple chains
Available SOPs
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use |
|---|---|
| knowledge-acquisition-paper-overview | Abstract-level paper scanning for broad coverage. Import of literature-engine/literature-overview skill. Abstract-level only — no methodology conclusions from abstracts. |
| knowledge-acquisition-paper-research | Full-depth paper reading with raw text extraction. Import of literature-engine/literature-research skill. Must read fullText (true) — equations, hyperparameters, specific claims extracted. |
| knowledge-acquisition-paper-search | AI-summarized paper reading for intermediate depth. Import of literature-engine/literature-search skill. Must call get_paper_content for every analyzed paper. |
| knowledge-acquisition-saturation-detection | Determine when additional searching yields diminishing returns. Analyzes the latest expansion batch against existing corpus to judge continue/near-saturation/saturated. Used by snowball and systematic-survey. |
Signals
- GitHub stars
- 469
- Forks
- 37
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
citation-chaining- Source
- github.com/yogsoth-ai/de-anthropocentric-research-engine